Qwen2-VL 2B
Qwen/Qwen2-VL-2B-Instruct
Parameters
2B
Context
32K
Downloads
2.5M
Likes
518
Architecture
transformer
GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| FP1616bit | 8.3 GB RAM 32.0 · Disk 44.8 | 10.7 GB RAM 32.0 · Disk 70.8 | 26.7 GB RAM 40.1 · Disk 109.8 |
| FP88bit | 5.9 GB RAM 32.0 · Disk 41.9 | 8.2 GB RAM 32.0 · Disk 67.9 | 24.2 GB RAM 36.3 · Disk 106.9 |
| INT88bit | 5.9 GB RAM 32.0 · Disk 41.9 | 8.2 GB RAM 32.0 · Disk 67.9 | 24.2 GB RAM 36.3 · Disk 106.9 |
| AWQ4bit | 4.8 GB RAM 32.0 · Disk 40.5 | 7.0 GB RAM 32.0 · Disk 66.5 | 22.9 GB RAM 34.4 · Disk 105.5 |
| GPTQ4bit | 4.8 GB RAM 32.0 · Disk 40.5 | 7.0 GB RAM 32.0 · Disk 66.5 | 23.0 GB RAM 34.4 · Disk 105.5 |
| GGUF4bit | 4.8 GB RAM 32.0 · Disk 40.6 | 7.1 GB RAM 32.0 · Disk 66.6 | 23.0 GB RAM 34.5 · Disk 105.6 |
GPU Recommendations
1× RTX 5080
16 GB VRAM
≈ 989.7 tok/s
Effective production throughput ≈ 692.8 tok/s
score 0.6121
1× Tesla V100
16 GB VRAM
≈ 0 tok/s (N/A — benchmark unavailable)
Effective production throughput ≈ 0 tok/s
score 0.6067
8× RTX 5090
256 GB VRAM
≈ 5911.8 tok/s
Effective production throughput ≈ 4138.3 tok/s
score 0.3617
1× RTX 5060 Ti
8 GB VRAM
≈ 461.9 tok/s
Effective production throughput ≈ 323.3 tok/s
score 0.658
💬 Community — real deployment experience
0 Articles · 0 Benchmarks
GPUs that fit (single card)
Tesla V100
16 GB VRAM
$20.3
/mo · vast
RTX 5060 Ti
8 GB VRAM
$39.7
/mo · vast
RTX 4070S Ti
16 GB VRAM
$49.5
/mo · vast
RTX 4080S
16 GB VRAM
$50.0
/mo · vast
RTX 5070
12 GB VRAM
$58.7
/mo · vast